Gist 11145951

Gist 160b8b16e4775e57e6f7736c7739dfd9

This visualization uses D3.js to render a network of interconnected nodes, positioned with `d3.forceSimulation` and drawn as circles on an SVG canvas. The code applies a color scale to nodes based on their degree (number of connections), and uses `d3.drag` to make nodes interactive and movable. It reads data from a simple array defined in the script, and displays the graph without axes or geographic elements. The example demonstrates force-directed layout and basic interactivity, with node colors and link strokes providing visual encoding of network structure.

Aandrei-antal

Gist 1328c48d7adc70f7a23d190cdf877f7d

This visualization uses D3.js to render a dynamic network graph of interconnected nodes and links. The code employs `d3.forceSimulation` with forces such as charge, link, and centering to position the nodes, while links and nodes are drawn using SVG lines and circles. The simulation updates positions on each tick, and the graph responds to drag and zoom interactions. Node sizes and link thicknesses are determined by degree and connection counts, offering a clear view of the network’s structure and clustering.

MMbrownshoes

Gist 499101b800dc438561b3a83332ada372

This example visualizes a network of interconnected nodes using a force-directed graph. It employs D3.js’s `d3.forceSimulation` to calculate node positions and `d3.forceLink` to handle the edges, with `d3.select` managing the SVG elements. The nodes are rendered as circles and the links as lines, with color and opacity distinguishing different groups or clusters. The data source is embedded in the gist as an array of objects, and the simulation updates the layout iteratively in response to the forces of charge, centering, and link distance.

Aamazingandyyy

Gist 56aa55c446bd6068e25ac573bd790feb

This example shows a network graph of nodes and links, with each node rendered as a circle positioned by a force-directed layout. It displays a social or relational dataset where connections between points are visually mapped, and the graph responds to simulation forces over time. The code uses D3.js’s `d3.forceSimulation` to compute node positions and `d3.drag` for interactive movement. It draws the nodes and links on an SVG canvas, using standard D3 selections and update patterns, with the simulation updating positions continuously. The data source is a hardcoded array of node and link objects within the gist file.

Aamazingandyyy

Gist a7d5ced57721ac3f7075bbbbaee32a49

This interactive visualization uses a force-directed simulation to animate a network of nodes and links, showing how connected elements cluster and repel. The code relies on D3’s `d3.forceSimulation` with custom forces for charge, centering, and collision, while link positions update via the simulation’s tick handler. Node rendering uses SVG circles, and the visualization reads its data from an embedded array of node and link objects, with no external data source. The interaction includes drag-and-drop support via D3’s drag behavior, letting viewers move nodes while the simulation continuously recalculates positions.

11wheel

Gist 55f895140a45a82f47b1e9ae0a9e1b85

This example shows an interactive network visualization built with D3.js, where nodes are positioned using `d3.forceSimulation` with charge and link forces. The visualization renders a graph of connected circles, with each node colored and sized based on its data attributes, and links drawn as straight lines between them. The code uses the Canvas API to draw the network, iterating over the simulation’s nodes and links each tick to render positions. It also includes drag behavior via `d3.drag` to let users move nodes, with the simulation restarting on interaction. The data comes from a hardcoded JSON structure embedded in the gist, containing node IDs and link source–target pairs.

Aachalvs

Gist 7f84369bd0c0b467d6b0

This visualization uses a force-directed graph layout implemented with D3’s `d3.forceSimulation` to position nodes connected by links, representing a network of relationships from an underlying dataset. The scene renders on an HTML5 Canvas, with the simulation’s tick events redrawing the nodes as colored circles and the edges as lines. A zoom interaction is added via `d3.zoom`, applying a transform to the canvas context to allow panning and scaling of the graph. The example demonstrates a typical static network diagram without additional interactivity beyond zoom and drag, relying on the force simulation to settle the layout.

MMbrownshoes

Gist dbec8851e522a7b2af374affa4f5c152

This example shows a force-directed network diagram of interconnected nodes, colored and sized to reveal clustering and degree differences. The visualization uses D3.js’s `d3.forceSimulation` with collision, link, and many-body forces to position the nodes, while `d3.drag` enables user interaction. Data is loaded from a JSON file containing node and link arrays. The rendering uses SVG circles and lines, with node fill colors determined by a categorical scale, and the simulation updates positions each tick. No additional analysis or animation beyond the basic force layout is present.

Aandrei-antal